Waste-Classification and CNN-Plastic-Waste-Classification
These two tools are competitors, as both are deep learning-based CNN models designed for classifying waste into recyclable and non-recyclable categories, with the former having a broader scope (organic or recyclable) and higher community engagement.
Maintenance
0/25
Adoption
5/25
Maturity
9/25
Community
14/25
Maintenance
0/25
Adoption
3/25
Maturity
9/25
Community
14/25
Stars: 9
Forks: 3
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 3
Forks: 3
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m
No Package
No Dependents
Stale 6m
No Package
No Dependents
About Waste-Classification
aniass/Waste-Classification
Waste image classification into organic or recyclable ones with CNN algorithm.
About CNN-Plastic-Waste-Classification
Hardik-Sankhla/CNN-Plastic-Waste-Classification
A deep learning-based Plastic Waste Classification system using Convolutional Neural Networks (CNNs) to categorize waste into recyclable and non-recyclable materials. This project aims to support sustainable waste management by leveraging AI-powered image classification.
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